ICSLMLI · Registering as Listener

International Conference on Statistical Learning and Machine Learning Integration

4th May – 5th May 2027 Hiroshima, Japan Standard / Physical Participation
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Terms of Conditions:

1.1 Paper Submission and Publication in IGAE Conferences

  • All Authors and Co-authors must inform their respective Dept. Head/Principal/Guide about the paper submission to IGAE Conferences.
  • IGAE accepts each paper for the conference only after a review by two internal or external IGAE Reviewers.
  • IGAE never publishes any unregistered paper.
  • IGAE is not responsible for identifying the original author or co-author of the paper. The person who submits the paper will be considered the original author.
  • If IGAE receives a complaint about the originality of an author and it is found to be true, the paper will be suspended immediately.
  • IGAE cannot republish or distribute any suspended paper from the date of suspension.

1.2 Attending IGAE International Conferences

  • All participants must register before attending the conference by paying the specified amount mentioned in the registration menu on the website.
  • The Organizer reserves the right to change the venue and date at any time before the conference. Any changes will be communicated to delegates via their registered email ID.
  • IGAE is not responsible for financial loss due to ticket cancellation or any other bookings if the conference format changes from physical to virtual or is rescheduled.
  • If an author cancels their registration, no refund will be issued.
  • IGAE reserves the right to deny refunds to registered authors or co-authors who have attended the conference and accepted publication/certificates.
  • If the Author cannot attend the conference for any personal reason, the co-Author should attend. No refund will be provided.

1.3 Cancellation & Refund Policy

  • Registration cancellation will be accepted if the registrant did not receive the official invitation letter. Once received, no refund claims will be entertained.
  • A full refund is applicable only if requested at least 70 days before the conference date, with the cancellation form submitted 60 days prior.
  • No refund is available for cancellation requests made 30 days or less before the conference. However, a credit will be issued, valid for one year.
  • For cancellations made between 60-30 days before the conference, a partial refund is available, deducting applicable charges.
  • If registration was completed less than 30 days before the conference, no refund is applicable. The registrant may switch to another conference within one year.
  • If a participant is unable to attend for personal reasons, the registration fee will not be refunded but will be credited for another conference within one year.
  • If the conference is in hybrid mode, the organizer has the right to conduct it in physical or virtual format. No refund is applicable for format changes.

1.4 Travel and Accommodation Responsibilities

  • IGAE is not responsible for arranging or managing travel, flights, transportation, or accommodation for participants.
  • In the event of conference format changes, cancellation, or venue adjustments, IGAE assumes no responsibility for participant-incurred travel or accommodation costs.
  • Registration fees do not include travel or accommodation expenses.

1.5 Transfer of Registration

  • Fully paid registrations can be transferred to another individual from the same institution if the registered person cannot attend. A registration form must be submitted.
  • Transfers must be requested in writing via [email protected], with prior registration details and attestation by the cardholder.
  • Registration can be transferred to another IGAE conference if the registrant cannot attend the originally registered event.
  • Registration transfers are not accepted within 14 days of the respective conference.
  • Transferred registrations are not eligible for refunds.

1.6 Visa Information & Invitation Letter Policy

  • The organizer will not directly contact embassies or consulates on behalf of visa applicants.
  • All delegates/invitees are responsible for their visa and travel arrangements.
  • The invitation letter is issued solely for conference attendance and does not serve as an official document for residency, work, or immigration purposes.
  • The letter is provided to assist in visa applications, and attendees must adhere to the visa regulations of the host country's embassy or consulate.
  • The Organizing Committee holds no responsibility for visa approvals, denials, or processing delays. Visa decisions lie solely with the immigration authorities.
  • All expenses related to visa applications are the sole responsibility of the applicant.
  • Any misuse, modifications, or alterations of the invitation letter will render it invalid and may result in immediate termination of conference registration.
  • The organization reserves the right to take necessary actions against misuse of this document.
  • By accepting the invitation letter, the participant agrees to comply with all legal and ethical international travel and conference attendance guidelines.

1.7 Conference Programme and Participation Policy

  • Where submissions share relevant themes or wider academic value, the Organiser may integrate them across disciplines in interdisciplinary or multidisciplinary sessions that promote diverse viewpoints, knowledge exchange, and professional connections.

To be Noted

  • All cancellations or modifications must be submitted in writing to [email protected]
  • Participants are deemed to have read and agreed to these terms before completing registration.
  • No auto-debit transactions are initiated. All transactions are completed by participants willingly after reviewing the terms.
  • After completing registration, participants must submit the conference registration form within 3 days. The form will be available on the event page. Failure to submit will result in non-confirmation of event participation.
  • Do not book travel arrangements until you receive the official conference program details, which will be sent via email 15 days before the conference.

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Registration summary

ConferenceICSLMLI
ModeStandard / Physical
ParticipationListener
Registration fee$0.00
Bank charges (5.8%)$0.00
Coupon discount-$0.00
Total payable$0.00

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SDG Wheel

SDG-Aligned Research Themes

IGAE conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 – Good Health and Well-being SDG 4 – Quality Education SDG 8 – Decent Work and Economic Growth SDG 9 – Industry, Innovation and Infrastructure

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Benefits of Registering as Listener

Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions

Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track will explore the latest methodologies in statistical learning, emphasizing novel approaches and their applications in various fields. Participants will discuss the integration of traditional statistical methods with contemporary machine learning techniques.

Focusing on the development and application of machine learning algorithms, this track will highlight their effectiveness in predictive modeling across diverse datasets. Presentations will cover both supervised and unsupervised learning paradigms.

This session will delve into cutting-edge research in deep learning and neural networks, showcasing innovative architectures and their statistical foundations. Discussions will include practical applications and performance evaluations in real-world scenarios.

This track will examine the role of probabilistic models in data science, emphasizing their importance in uncertainty quantification and decision-making processes. Participants will share insights on integrating these models with machine learning frameworks.

This session will focus on techniques for feature selection and dimensionality reduction, critical for enhancing model performance and interpretability. Researchers will present novel algorithms and their empirical effectiveness in various applications.

This track will address the challenges and solutions associated with applying statistical algorithms to big data analytics. Participants will discuss scalable methods and their implications for real-time data processing.

This session will explore the intersection of statistical methods and artificial intelligence, highlighting how statistical rigor can enhance AI models. Discussions will include case studies and theoretical advancements.

Focusing on the ethical implications and interpretability of machine learning models, this track will encourage discussions on responsible AI practices. Researchers will present frameworks for ensuring transparency and fairness in statistical learning.

This session will showcase various applications of unsupervised learning techniques across different domains, including clustering and anomaly detection. Participants will discuss the challenges and successes in implementing these methods.

This track will highlight the role of computational statistics in enhancing the efficiency of statistical analyses through high-performance computing. Presentations will cover algorithmic advancements and their practical implementations.

This closing session will focus on emerging trends and future directions in the integration of statistical learning and machine learning. Participants will engage in visionary discussions about the potential impact of these fields on society and technology.

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